[http://incubator.apache.org/hama Hama] is a parallel matrix computational package, which provides an library of matrix operations for the Large-Scale processing development environment and [http://wiki.apache.org/hadoop/HadoopMapReduce Map/Reduce] framework for the Large-Scale Numerical Analysis and Data Mining, which need the intensive computation power of matrix inversion, e.g. linear regression, PCA, SVM and etc. It will be also useful for many scientific applications, e.g. physics computations, linear algebra, computational fluid dynamics, statistics, graphic rendering and many more.
Project Naming
According to Edward J. Yoon, who created Hama, the name comes from the abbreviation of the Hadoop Matrix and the Hippopotamus ('Hama' in Korean pronunciation means a 'Hippopotamus'), which is a large animal with a barrel-shaped body (Large-Scale) and huge mouth (High-Throughput).
General Information
Hama [:Architecture: Architecture]
Analysis of Hama [:Algorithms: Algorithms]
[:Presentations: Presentations] and [:Atricles: Articles] about Hama
Hama [:MailingLists: Mailing Lists]
Developer Documentation
[:HowToContribute: HowToContribute]
[:Jira: Jira] usage guidelines